Análise multicritério na definição de áreas prioritárias para restauração florestal na Bacia do Rio São Nicolau, afluente do Rio Doce
Data
Autor(es)
Orientado(es)
Título da Revista
ISSN da Revista
Título de Volume
Editor
Abstract
The present study aimed to assess the potential of Multicriteria Analysis (MCA) integrated with Geographic Information System (GIS) as a tool for mapping priority areas for forest restoration in the São Nicolau River basin, São João Evangelista, Minas Gerais. The fragmented region of the São Nicolau River basin was evaluated on a large scale, and the area of IFMG São João Evangelista campus in Minas Gerais, situated within the São Nicolau Riverbasin, was assessed on a detailed scale. Multicriteria Analysis, combined with Weighted Linear Combination and Analytic Hierarchy Process, was employed. Five criteria were considered for the São Nicolau River basin: riparian areas, land use and land cover, potential erosion risk, distance from forest fragments, and soil classes, which were classified according to their importance. Urban areas, natural vegetation, and water bodies were regarded as restricted areas. For the IFMG São João Evangelista campus area, the following criteria were used: terrain slope, land use and land cover, distance from drainage networks, distance from forest fragments, precipitation, and soil classes, which were classified according to their importance. Building areas, roads, natural vegetation, and water bodies were considered restricted areas.Subsequently, each layer was assigned coefficients representing restoration priority: (I) very low, (II) low, (III) medium, (IV) high, and (V) very high. The results obtained for the São Nicolau River basin showed that 48.96% of the area was classified as having low and very lowPriority, and 5.32% as high and very high priority. Regarding the IFMG São João Evangelista campus area, the map of priority areas revealed that 28.19% of the areas presented zones of medium, high, and very high restoration priority. However, only 4.70% were classified as very low or low priority for ecological restoration. The combined methodology of Multicriteria Analysis, Analytic Hierarchy Process, and Weighted Linear Combination enabled the production of reliable maps with appropriate solutions for guiding degraded area restoration actions, provided that the database is standardized and criteria are weighted prudently and basedon technical and scientific foundations.
